Construct · 1 fields · 1 citations

normalizing flow: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Machine learning

building a flexible probability distribution by passing a simple one through a chain of invertible transformations with tractable Jacobians.

In machine learning, normalizing flow refers to building a flexible probability distribution by passing a simple one through a chain of invertible transformations with tractable Jacobians. This meaning comes from Rezende (2015) in arXiv.[1]

Unit
Recovery means
Measured by

Run it through the Collider, or take the citations with you.

See how normalizing flow sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in Collider Export BibTeX Report this entry

Nearby constructs

chain3 fields · 3 citationsjingle · one word, three constructs distribution2 fields · 2 citationsjingle · one word, two constructs flow6 names · 12 citationsjangle · five names, one experience, partly

References

Rezende, D. J., & Mohamed, S. (2015). Variational Inference with Normalizing Flows. arXiv. https://doi.org/10.48550/arxiv.1505.05770

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct